PDF(Pubmed)
Abstract：
UNASSIGNED: Despite widespread efforts by many countries to reduce the prevalence of unmet healthcare needs within their populations, there remains a scarcity of research systematically exploring the components of these needs.
UNASSIGNED: This study aims to deconstruct subjective unmet healthcare needs into two distinct components: the experience of subjective healthcare needs (the \"Needs\" component) and the experience of unmet needs contingent on those healthcare needs (the \"Unmet\" component).
UNASSIGNED: This analysis utilizes data from 13,359 adults aged 19 or older, collected through the 2018 Korea Health Panel survey, with the aim of minimizing the influence of the coronavirus disease 19 pandemic. The two dependent variables are the experience of subjective healthcare needs and whether these needs have been met. The independent variables include 15 socio-demographic, health, and functional characteristics. The study employs both a population proportion analysis and a multivariable bivariate probit model with sample selection.
UNASSIGNED: In South Korea, 11.6% (CI [confidence interval] = 11.0-12.3%) of the population experienced subjective unmet healthcare needs. Upon deconstructing these, 96.7% (CI = 96.2-97.1%) of the population exhibited the Needs component, and 12.0% (CI = 11.4-12.7%) displayed the Unmet component. Each independent variable showed different associations between the two components. Furthermore, effective interventions targeting the characteristics associated with each component could reduce the proportion of the population experiencing subjective unmet healthcare needs from 11.6 to 4.0%.
UNASSIGNED: South Korea faces a significant challenge due to the considerable prevalence of subjective unmet healthcare needs. To address this challenge effectively, the universal healthcare coverage system should adapt its approach based on the characteristics associated with both the Needs and Unmet components of subjective unmet healthcare needs. To achieve this goal, it is highly recommended that the government prioritize strengthening community-based primary healthcare, which currently suffers from insufficient resources.
UNASSIGNED: This study aims to deconstruct subjective unmet healthcare needs into two distinct components: the experience of subjective healthcare needs (the \"Needs\" component) and the experience of unmet needs contingent on those healthcare needs (the \"Unmet\" component).
UNASSIGNED: This analysis utilizes data from 13,359 adults aged 19 or older, collected through the 2018 Korea Health Panel survey, with the aim of minimizing the influence of the coronavirus disease 19 pandemic. The two dependent variables are the experience of subjective healthcare needs and whether these needs have been met. The independent variables include 15 socio-demographic, health, and functional characteristics. The study employs both a population proportion analysis and a multivariable bivariate probit model with sample selection.
UNASSIGNED: In South Korea, 11.6% (CI [confidence interval] = 11.0-12.3%) of the population experienced subjective unmet healthcare needs. Upon deconstructing these, 96.7% (CI = 96.2-97.1%) of the population exhibited the Needs component, and 12.0% (CI = 11.4-12.7%) displayed the Unmet component. Each independent variable showed different associations between the two components. Furthermore, effective interventions targeting the characteristics associated with each component could reduce the proportion of the population experiencing subjective unmet healthcare needs from 11.6 to 4.0%.
UNASSIGNED: South Korea faces a significant challenge due to the considerable prevalence of subjective unmet healthcare needs. To address this challenge effectively, the universal healthcare coverage system should adapt its approach based on the characteristics associated with both the Needs and Unmet components of subjective unmet healthcare needs. To achieve this goal, it is highly recommended that the government prioritize strengthening community-based primary healthcare, which currently suffers from insufficient resources.
摘要：
■尽管许多国家为降低其人口中未满足的医疗保健需求的患病率做出了广泛努力，系统探索这些需求的组成部分的研究仍然很少。
■本研究旨在将主观未满足的医疗保健需求分解成两个不同的组成部分：主观医疗保健需求的体验（“需求”组成部分）和取决于这些医疗保健需求的未满足需求的体验（“未满足”组成部分）。
■此分析利用了13,359名19岁或以上的成年人的数据，通过2018年韩国卫生小组调查收集，目的是尽量减少冠状病毒疾病19大流行的影响。这两个因变量是主观医疗保健需求的经验，以及这些需求是否得到满足。独立变量包括15个社会人口统计学，健康,和功能特征。该研究采用了人口比例分析和带有样本选择的多变量双变量概率模型。
■在韩国，11.6％（CI[置信区间]=11.0-12.3％）的人口经历了主观未满足的医疗保健需求。在解构这些之后，96.7%(CI=96.2-97.1%)的人口表现出需求部分，和12.0%（CI=11.4-12.7%）显示Unmet组件。每个自变量在两个成分之间显示出不同的关联。此外，针对与每个组成部分相关的特征的有效干预措施可以将主观未满足医疗保健需求的人口比例从11.6%降低到4.0%.
■由于相当普遍的主观未满足的医疗保健需求，韩国面临着重大挑战。为了有效地应对这一挑战，全民医疗覆盖系统应根据与需求和主观未满足医疗需求的未满足组成部分相关的特征，调整其方法。为了实现这一目标,强烈建议政府优先加强以社区为基础的初级卫生保健，目前资源不足。
■本研究旨在将主观未满足的医疗保健需求分解成两个不同的组成部分：主观医疗保健需求的体验（“需求”组成部分）和取决于这些医疗保健需求的未满足需求的体验（“未满足”组成部分）。
■此分析利用了13,359名19岁或以上的成年人的数据，通过2018年韩国卫生小组调查收集，目的是尽量减少冠状病毒疾病19大流行的影响。这两个因变量是主观医疗保健需求的经验，以及这些需求是否得到满足。独立变量包括15个社会人口统计学，健康,和功能特征。该研究采用了人口比例分析和带有样本选择的多变量双变量概率模型。
■在韩国，11.6％（CI[置信区间]=11.0-12.3％）的人口经历了主观未满足的医疗保健需求。在解构这些之后，96.7%(CI=96.2-97.1%)的人口表现出需求部分，和12.0%（CI=11.4-12.7%）显示Unmet组件。每个自变量在两个成分之间显示出不同的关联。此外，针对与每个组成部分相关的特征的有效干预措施可以将主观未满足医疗保健需求的人口比例从11.6%降低到4.0%.
■由于相当普遍的主观未满足的医疗保健需求，韩国面临着重大挑战。为了有效地应对这一挑战，全民医疗覆盖系统应根据与需求和主观未满足医疗需求的未满足组成部分相关的特征，调整其方法。为了实现这一目标,强烈建议政府优先加强以社区为基础的初级卫生保健，目前资源不足。
